Modeling of the atmospheric boundary layer under stability stratification for wind turbine wake production

被引:4
|
作者
Ichenial, Mohamed Marouan [1 ]
El-Hajjaji, Abdellah [1 ]
Khamlichi, Abdellatif [2 ]
机构
[1] Abdelmalek Essaadi Univ, Fac Sci, Dept Phys, Tetouan 93000, Morocco
[2] Abdelmalek Essaadi Univ, Natl Sch Appl Sci Tetouan, Dept STIC, Tetouan, Morocco
关键词
Atmospheric boundary layer; atmospheric stability; FLORIS; tip speed ratio; wind turbine wakes; SURFACE-LAYER; TURBULENCE INTENSITY; HOMOGENEOUS TERRAIN; PARAMETERIZATION; SPECTRUM; PROFILE; IMPACT; LIDAR;
D O I
10.1177/0309524X19880929
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The assessment of climatological site conditions, airflow characteristics, and the turbulence affecting wind turbines is an important phase in developing wake engineering models. A method of modeling atmospheric boundary layer structure under atmospheric stability effects is crucial for accurate evaluation of the spatial scale of modern wind turbines, but by themselves, they are incapable to account for the varying large-scale weather conditions. As a result, combining lower atmospheric models with mesoscale models is required. In order to realize a reasonable approximation of initial atmospheric inflow condition used for wake identification behind an NREL 5-MW wind turbine, different vertical wind profile models on equilibrium conditions are tested and evaluated in this article. Wind farm simulator solvers require massive computing resources and forcing mechanisms tendencies inputs from weather forecast models. A three-dimensional Flow Redirection and Induction in Steady-state engineering model was developed for simulating and optimizing the wake losses of different rows of wind turbines under different stability stratifications. The obtained results were compared to high-fidelity simulation data generated by the famous Simulator for Wind Farm Applications. This work showed that a significant improvement related to atmospheric boundary layer structure can be made to develop accurate engineering wake models in order to reduce wake losses.
引用
收藏
页码:178 / 204
页数:27
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